by RLE at MIT | Jun 20, 2017 | RLE Recent Papers
Yichen Shen, Nicholas C. Harris, Scott Skirlo, Mihika Prabhu , Tom Baehr-Jones, Michael Hochberg, Xin Sun, Shijie Zhao, Hugo Larochelle, Dirk Englund and Marin Soljačić DOI: 10.1038/NPHOTON.2017.93 Abstract: Artificial neural networks are computational network...
by RLE at MIT | Jun 19, 2017 | RLE Events
by RLE at MIT | Jun 15, 2017 | RLE Recent Papers
Yu-Hsin Chen, Joel Emer, Vivienne Sze DOI: 10.1109/MM.2017.54 Abstract: The authors demonstrate the key role dataflows play in the optimization of energy efficiency for deep neural network (DNN) accelerators. By introducing a systematic approach to...
by RLE at MIT | Jun 7, 2017 | RLE Recent Papers
Zhengdong Zhang, Vivienne Sze DOI: 10.1109/CVPRW.2017.138 Abstract: State-of-the-art super-resolution (SR) algorithms require significant computational resources to achieve real-time throughput (e.g., 60Mpixels/s for HD video). This paper in-troduces FAST (Free...
by RLE at MIT | Jun 1, 2017 | RLE Recent Papers
Zhengdong Zhang, Amr Suleiman, Luca Carlone, Vivienne Sze, Sertac Karaman RSS 2017 Abstract: Autonomous navigation of miniaturized robots (e.g., nano/pico aerial vehicles) is currently a grand challenge for robotics research, due to the need for processing a...